coin detect Dataset
Versions
2023-02-02 11:46pm
v10
· 2 years ago
2023-02-02 11:44pm
v9
· 2 years ago
2023-02-02 11:40pm
v8
· 2 years ago
2023-02-02 10:45pm
v7
· 2 years ago
2023-02-02 10:17pm
v6
· 2 years ago
2023-02-02 8:48pm
v5
· 2 years ago
2023-02-02 6:31pm
v4
· 2 years ago
2023-02-02 5:03pm
v3
· 2 years ago
2023-02-02 4:22pm
v2
· 2 years ago
2023-02-02 4:00pm
v1
· 2 years ago
v5
2023-02-02 8:48pm
Generated on Feb 2, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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3024 Total Images
View All Images
Dataset Split
Train Set 83%
2511Images
Valid Set 11%
324Images
Test Set 6%
189Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±20° Vertical
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 20 boxes with 5% size each
Mosaic: Applied